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DBMS > BoltDB vs. CrateDB vs. Memgraph vs. TimesTen

System Properties Comparison BoltDB vs. CrateDB vs. Memgraph vs. TimesTen

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCrateDB  Xexclude from comparisonMemgraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Distributed Database based on LuceneAn open source graph database built for real-time streaming and compatible with Neo4jIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitegithub.com/­boltdb/­boltcratedb.commemgraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcratedb.com/­docsmemgraph.com/­docsdocs.oracle.com/­database/­timesten-18.1
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCrateMemgraph LtdOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2013201320171998
Current release11 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageGoJavaC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free and schema-optionalyes
Typing infopredefined data types such as float or datenoyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Bolt protocol
Cypher query language
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functions (Javascript)PL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infodynamic graph partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelMulti-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnorights management via user accountsUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBCrateDBMemgraphTimesTen
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
You can check out our pricing model and licenses on the company website .
» more

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BoltDBCrateDBMemgraphTimesTen
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